Details

Subject(s)

• Artificial intelligence—Industrial applications—Congresses [Browse]

Editor

• Aliev, R. A. (Rafik Aziz ogly) [Browse]

Series

• Advances in Intelligent Systems and Computing [More in this series]
• Advances in Intelligent Systems and Computing ; v.1323 [More in this series]

Source of description

Description based on print version record.

Contents

• Intro
• 11th International Conference on Intelligent Systems for Industrial Automation, WCIS-2020, Tashkent, Uzbekistan, November 26-28
• Organization
• Co-chairmen and Editors
• International Program Committee
• Organizing Committee
• Chairmen
• Co-chairmen
• Members
• Conference Organizing Secretariats
• Contents
• Prediction Intervals for the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) via the LUBE Method
• 1 Introduction
• 2 Methods
• 2.1 Study Area and Data Sets
• 2.2 Artificial Neural Network (ANN)
• 2.3 Adaptive Neuro-Fuzzy Inference System (ANFIS)
• 2.4 PIs Construction by LUBE Method
• 3 Results
• 4 Discussion
• 5 Conclusions
• References
• Analysis and Modeling of Information Security Systems in Industry 4.0
• 2 Analysis and Modeling
• 3 Conclusion
• Using Non-linear Integral Models in Automatic Control and Measurement Systems for Sensors' Input Signals' Recovery
• 2 Methods for Solving Polynomial Integral Equations
• 2.1 Model Regularization
• 2.2 Algorithms for Solving Polynomial Integral Equations
• 2.3 Solving Polynomial Integral Equations with Tabular-Type Kernels in an Infinite Period
• 3 Results and Practical Application of the Offered Methods
• 4 Conclusions
• Neural Network Method and Algorithm for Document Detection Based on Signaling Analysis
• 2 The Main Part
• Using Fuzzy Probabilistic Implication in Z-set Based Inference
• 2 Preliminaries
• 3 Statement of the Problem
• 4 Solution Method
• 5 Numerical Example
• 6 Conclusion
• Accounting Experience Between Fuzzy Integral and Z-numbers
• 2 Calculation of Fuzzy Integral by the Fuzzy Measure.
• 3 Calculation on the Basis of the Combination of Z-numbers
• 4 To Carry Out Computational Experiments on the Basis of Z-numbers
• 5 Conclusion
• A Recurrent Method for Structural-Parametric Identification of Fuzzy Neural Networks
• 2 Weighed Mamdani FNNs and Its Learning Problem
• 2.1 Weighed Mamdani Model
• 2.2 Statement of the Problem
• 3 New Approach for the Identification of Weighed Mamdani FNN
• 4 Structure and Parameter Initialization of the Proposed Method
• 5 Parameter Learning Using a Gradient Descent Method
• 6 Numerical Experiments
• 7 Conclusion
• Voltage Control System for Electrical Networks Based on Fuzzy Sets
• 2 Problem Statement and Main Results
• 3 Practical Results
• 4 Conclusion
• Algorithms for the Synthesis of Optimal Linear-Quadratic Stationary Controllers
• 2 Problem Definition
• 3 Control Law
• 4 Solution
• Toward Ordering of n-Tuples of Z-Numbers
• 2 State of the Art
• 3 Preliminaries
• 4 Statement of the Problem and Method of Solution
• Determining the Activity of Fullerene Nanoparticles Using QSAR Models
• 2.1 Data
• 2.2 Data Pre-processing
• 2.3 Feature Selection
• 2.4 QSAR Model Development
• 3.1 Outliers Treatment
• 3.2 Processing Null Values
• 3.3 Bivariate Analysis
• 3.4 Multicollinearity
• 3.5 Feature Selection Using Wrapper Methods
• 3.6 Model Building
• 3.7 Evaluating and Optimizing Models
• 3.8 Predictions
• Appendices
• Selection of the Optimal Class of Features for Recognition of the Azerbaijani Handprinted Characters
• 2 Thinning
• 3 Extraction of Soft Features for Hand-Printed Recognition.
• 4 Results of Experiments
• About One Feature Selection Algorithm in Pattern Recognition
• 2 Methodology
• 2.1 Mathematical Formulation of the Problem
• 2.2 Algorithm
• 2.3 Example of Comparison
• The Neural Network Based Decision Support System Using Aggregated Opinions of Public Observers
• 3 Fuzzy Utility Function
• 4 NN Model for Aggregation of Recipient Assessments
• Multi-model Virtual Analysers of Parameters of Technological Processes
• 2 Machine Learning
• Fuzzy Assessment of Technological Risks in the Main Oil Pipeline
• 2 Solution and Discussion of the Problem
• The Efficiency of the FSV Model in an Intelligent Search Engine
• 2 Main Chapter
• 3 Conclusion Remarks
• Neural-Network Based Approach to Mechanism of Liquid Extraction
• 2 Experimental Part
• 3 Conclusions and Disscussion
• Predicting the Performance of Marital Gas Pipelines with Different Coatings
• 2 Construction of a Dynamic Model for a Time Series
• 3 Choosing the Dimension of the Embedding Space
• 4 Direct and Iterative Forecasting Methods Based on Dynamic Model Mapping
• 5 Numerical Implementation of the Method and Discussion of Results
• Enhancing Teaching Approach with 3D Primitives in Virtual and Augmented Reality
• 2 Augmented and Virtual Reality (AR/VR) in E-Learning
• 2.1 Using AR in Education
• 2.2 Virtual Reality (VR) for Education
• 2.3 The Need for Virtual Reality in Education
• 3 How to Implement Graphics Field
• 4 Implication of 3D Modeling by Software
• References.
• Modelling of Gas Lift Dynamic Processes Using ANFIS and ANN
• 2 Method
• Recognition and Classification of Pollen Grains Based on the Use of Statistical, Dynamic Image Characteristics, and Unique Properties of Neural Networks
• 2 Main Part
• 2.1 Main Features, Principles, and Characteristics of the Technology for Identifying Images of Pollen Grains
• 2.2 Generalized Algorithms for Identification, Recognition, and Classification of Images of Micro-objects
• Fuzzy Type-2 Decision Making Method on Project Selection
• 4 Solution of the Problem
• IoT and Intelligent Wireless Sensor Network for Remote Monitoring Systems of Solar Power Stations
• 2 Configuration of Intelligent WSN
• 3 The Principle of Construction of Intelligent Wireless Sensor Networks
• 4 Construction Concept of SPS Remote Monitoring System
• 5 Simulation and Results
• Path Planning Collision Free for Warehouse Mobile Robot
• 2.1 Current Situation and Warehouse Mobile Robot
• 3 Results and Discussions
• Simulation Model of the Multi-position Mechatronic Module Functioning of an Intelligent Robot
• 2 Research Methodology
• 3 Analysis and Results
• Decision-Making in the Production of Hard-To-Recover Oil Reserves Under Uncertainty
• 2 A Brief Overview of Optimization Methods for Gas-Lift Production
• 3 Problem Statement
• 4 Results of Research
• Automatic Recognition of Uzbek Speech Based on Integrated Neural Networks
• 1 Introduction.
• 2 End-to-End Speech Recognition Systems
• 3 Experiments
• Software Selection Problem by Using Single Valued Neutrosophic (SVN)-Based TOPSIS Method
• Neural Network Model for Adaptive Control of Nonlinear Dynamic Object
• Identification and Ranking of Key Factors for Pattern of Consumer Buying Decisions in Digital Marketing
• The Possibilities of Using Cloud Computing for Applications of Industrial Automation
• 2 Methodical Aspects of Using Cloud Computing in Industry
• 3 Generalized Scenario of Virtualization in the Cloud Infrastructure
• Application of Fuzzy AHP Method to Material Selection Problem
• 3 Fuzzy AHP
• 4 Application
• 4.1 Calculations for Criteria
• 4.2 Calculations for Impact Strength Criterion
• 4.3 Calculations for "Brinell Hardness" Criterion
• 4.4 Calculations for Machinability Index Criterion
• 4.5 Calculations for Estimated Cost Per Lbs Criterion
• 5 Global and Local Weights Calculations
• 6 Decision Matrix
• 7 Ranking the Alternatives
• 8 Discussion and Conclusion
• Problems of Visualization and 3d Modeling in Chemistry: Analysis of Electronodonor Properties and Spatial Complex-Forming Structure of the Obtained Sulfocationite
• 2 Method of Calculation
• 3 DFT Analysis
• 4 Research of Including Complex-Forming
• Application of Modern Technologies for Planning Improvement and Saving on Costs in the Enterprise of the Industry 4.0.

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ISBN

3-030-68004-5

OCLC

1244626478

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